IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v68y2014icp602-610.html
   My bibliography  Save this article

Post-processing data of measured I–V curves of photovoltaic devices

Author

Listed:
  • Bühler, Alexandre J.
  • Perin Gasparin, Fabiano
  • Krenzinger, Arno

Abstract

An efficient and reliable characterization of PV devices is paramount for the establishment of new PV installations and for evaluation of the performance of the existent ones. In order to analyze the electrical performance of photovoltaic devices it is essential the determination of the characteristic current versus voltage (I–V) curve from which important information about several parameters of the PV generator can be obtained. The objective of this work is to present an accurate and reliable post-processing method for measured I–V curves (raw data) of photovoltaic devices. In order to implement this post-processing method in-house software (which is described in this work) was developed to post-process I–V curves of any PV device. This software allows the determination of several parameters from a measured I–V curve, as well as its translation to any irradiance and temperature conditions. The post-processing method has been tested in a wide range of raw data I–V curves related to modules based on different technologies. The results have shown a very good level of reliability and accuracy for traditional crystalline silicon and thin film devices.

Suggested Citation

  • Bühler, Alexandre J. & Perin Gasparin, Fabiano & Krenzinger, Arno, 2014. "Post-processing data of measured I–V curves of photovoltaic devices," Renewable Energy, Elsevier, vol. 68(C), pages 602-610.
    • Handle: RePEc:eee:renene:v:68:y:2014:i:c:p:602-610
    DOI: 10.1016/j.renene.2014.02.048
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148114001396
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2014.02.048?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Sacco, Adriano & Rolle, Lidia & Scaltrito, Luciano & Tresso, Elena & Pirri, Candido Fabrizio, 2013. "Characterization of photovoltaic modules for low-power indoor application," Applied Energy, Elsevier, vol. 102(C), pages 1295-1302.
    2. Belmili, Hocine & Ait Cheikh, Salah Med & Haddadi, Mourad & Larbes, Cherif, 2010. "Design and development of a data acquisition system for photovoltaic modules characterization," Renewable Energy, Elsevier, vol. 35(7), pages 1484-1492.
    3. Durisch, Wilhelm & Tille, Dierk & Wörz, A. & Plapp, Waltraud, 2000. "Characterisation of photovoltaic generators," Applied Energy, Elsevier, vol. 65(1-4), pages 273-284, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Dizqah, Arash M. & Maheri, Alireza & Busawon, Krishna, 2014. "An accurate method for the PV model identification based on a genetic algorithm and the interior-point method," Renewable Energy, Elsevier, vol. 72(C), pages 212-222.
    2. Teo, J.C. & Tan, Rodney H.G. & Mok, V.H. & Ramachandaramurthy, Vigna K. & Tan, ChiaKwang, 2020. "Impact of bypass diode forward voltage on maximum power of a photovoltaic system under partial shading conditions," Energy, Elsevier, vol. 191(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Cuce, Erdem & Cuce, Pinar Mert & Bali, Tulin, 2013. "An experimental analysis of illumination intensity and temperature dependency of photovoltaic cell parameters," Applied Energy, Elsevier, vol. 111(C), pages 374-382.
    2. Khan, Firoz & Baek, Seong-Ho & Kim, Jae Hyun, 2014. "Intensity dependency of photovoltaic cell parameters under high illumination conditions: An analysis," Applied Energy, Elsevier, vol. 133(C), pages 356-362.
    3. Zardetto, V. & Mincuzzi, G. & De Rossi, F. & Di Giacomo, F. & Reale, A. & Di Carlo, A. & Brown, T.M., 2014. "Outdoor and diurnal performance of large conformal flexible metal/plastic dye solar cells," Applied Energy, Elsevier, vol. 113(C), pages 1155-1161.
    4. Li, Danny H.W. & Lam, Tony N.T. & Chan, Wilco W.H. & Mak, Ada H.L., 2009. "Energy and cost analysis of semi-transparent photovoltaic in office buildings," Applied Energy, Elsevier, vol. 86(5), pages 722-729, May.
    5. Marucci, Alvaro & Cappuccini, Andrea, 2016. "Dynamic photovoltaic greenhouse: Energy efficiency in clear sky conditions," Applied Energy, Elsevier, vol. 170(C), pages 362-376.
    6. Hug, Hubert & Bader, Michael & Mair, Peter & Glatzel, Thilo, 2014. "Biophotovoltaics: Natural pigments in dye-sensitized solar cells," Applied Energy, Elsevier, vol. 115(C), pages 216-225.
    7. Durisch, W. & Bitnar, B. & Mayor, J. -C. & von Roth, Fritz & Sigg, H. & Tschudi, H. R. & Palfinger, G., 2003. "Small self-powered grid-connected thermophotovoltaic prototype system," Applied Energy, Elsevier, vol. 74(1-2), pages 149-157, January.
    8. De Rossi, Francesca & Pontecorvo, Tadeo & Brown, Thomas M., 2015. "Characterization of photovoltaic devices for indoor light harvesting and customization of flexible dye solar cells to deliver superior efficiency under artificial lighting," Applied Energy, Elsevier, vol. 156(C), pages 413-422.
    9. Roy, Sanjoy, 2015. "Statistical estimates of short duration power generated by a photovoltaic unit in environment of scattered cloud cover," Energy, Elsevier, vol. 89(C), pages 14-23.
    10. Yufenyuy, Severine Wiysahnyuy & Mengata, Ghislain Mengounou & Nneme Nneme, Leandre & Bongwirnso, Umaru Mohammed, 2024. "Indoor environment PV applications: Estimation of the maximum harvestable power," Renewable and Sustainable Energy Reviews, Elsevier, vol. 193(C).
    11. Zhang, Peng & Li, Wenyuan & Li, Sherwin & Wang, Yang & Xiao, Weidong, 2013. "Reliability assessment of photovoltaic power systems: Review of current status and future perspectives," Applied Energy, Elsevier, vol. 104(C), pages 822-833.
    12. Ammar Mahjoubi & Ridha Fethi Mechlouch & Ammar Ben Brahim, 2011. "A Low Cost Wireless Data Acquisition System for a Remote Photovoltaic (PV) Water Pumping System," Energies, MDPI, vol. 4(1), pages 1-22, January.
    13. Abbas, Naseem & Awan, Muhammad Bilal & Amer, Mohammed & Ammar, Syed Muhammad & Sajjad, Uzair & Ali, Hafiz Muhammad & Zahra, Nida & Hussain, Muzamil & Badshah, Mohsin Ali & Jafry, Ali Turab, 2019. "Applications of nanofluids in photovoltaic thermal systems: A review of recent advances," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 536(C).
    14. Kazuya Tada, 2022. "Characteristics of Dye-Sensitized Solar Cell under PWM Illumination: Toward Indoor Light-Energy Harvesting in the Solid-State Lighting Era," Energies, MDPI, vol. 15(24), pages 1-11, December.
    15. Sharma, Rakhi & Tiwari, G.N., 2012. "Technical performance evaluation of stand-alone photovoltaic array for outdoor field conditions of New Delhi," Applied Energy, Elsevier, vol. 92(C), pages 644-652.
    16. Li, Li & Fan, Shuai & Xiao, Jucheng & Zhou, Huan & Shen, Yu & He, Guangyu, 2024. "Fair trading strategy in multi-energy systems considering design optimization and demand response based on consumer psychology," Energy, Elsevier, vol. 306(C).
    17. Gad, H.E. & Gad, Hisham E., 2015. "Development of a new temperature data acquisition system for solar energy applications," Renewable Energy, Elsevier, vol. 74(C), pages 337-343.
    18. Quesada, B. & Sánchez, C. & Cañada, J. & Royo, R. & Payá, J., 2011. "Experimental results and simulation with TRNSYS of a 7.2Â kWp grid-connected photovoltaic system," Applied Energy, Elsevier, vol. 88(5), pages 1772-1783, May.
    19. Russo, Johnny & Ray, William & Litz, Marc S., 2017. "Low light illumination study on commercially available homojunction photovoltaic cells," Applied Energy, Elsevier, vol. 191(C), pages 10-21.
    20. Celik, Ali Naci & Acikgoz, NasIr, 2007. "Modelling and experimental verification of the operating current of mono-crystalline photovoltaic modules using four- and five-parameter models," Applied Energy, Elsevier, vol. 84(1), pages 1-15, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:renene:v:68:y:2014:i:c:p:602-610. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/renewable-energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.